kingfengji/gcForest

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1312 stars · 426 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official Python implementation of gcForest, the multi-grained cascade deep forest algorithm proposed in the IJCAI-2017 paper 'Deep Forest: Towards an Alternative to Deep Neural Networks'. It offers a scikit-learn style API and is now superseded by the maintained deep-forest package.

Use cases

• train deep forest models as an alternative to neural networks
• run the gcForest algorithm from the IJCAI 2017 paper
• fit ensemble tree models with a scikit-learn style API
• experiment with cascade forest classifiers on my dataset
• reproduce results from the deep forest paper

When to choose

• you need the exact original gcForest implementation for research reproduction
• you want a tree-based alternative to deep neural networks on tabular data
• you prefer a scikit-learn style fit/predict API for ensemble forests

When to avoid

• you need a maintained library - use LAMDA-NJU/Deep-Forest (pip install deep-forest) instead
• you need Python 3.8+ support since this targets Python 2.7/3.5
• you need a permissive license for commercial use - it is academic-use only with no license file

Facets

library · maturity abandoned

machine-learning machine-learning python deep-forest gcforest ensemble-learning random-forest research-code python2 algorithms

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